Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4834#discussion_r25569774
--- Diff: docs/mllib-naive-bayes.md ---
@@ -115,22 +115,31 @@ used for evaluation and prediction.
Note that the Python API does not yet support model save/load but will in
the future.
-<!-- TODO: Make Python's example consistent with Scala's and Java's. -->
{% highlight python %}
-from pyspark.mllib.regression import LabeledPoint
from pyspark.mllib.classification import NaiveBayes
+from pyspark.mllib.linalg import Vectors
+from pyspark.mllib.regression import LabeledPoint
+
+data = sc.textFile("data/mllib/sample_naive_bayes_data.txt")
+
+# Preprocessing
+splitData = data.map(lambda line: line.split(','))
+parsedData = splitData.map(
+ lambda parts: LabeledPoint(
+ float(parts[0]),
+ Vectors.dense(map(lambda x: float(x), parts[1].split(' ')))
+ )
+ )
-# an RDD of LabeledPoint
-data = sc.parallelize([
- LabeledPoint(0.0, [0.0, 0.0])
- ... # more labeled points
-])
+# Split data into training (60%) and test (40%)
--- End diff --
`data into` -> `data approximately into`.
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